صرفه جویی در انرژی در گیاهان تصفیه فاضلاب: یک سیستم حمایت از تصمیم گیری تعاونی گیاهان عمومی

In Europe, the analysis of Waste Water Treatment Plants (WWTPs) shows a significant energy efficiency potential (up to 25%). Optimistically, plant managers assess their plant efficiency once or twice per year. Consequently, the time gap between an inefficiency and its detection produces avoidable operational costs. Although the installation of multiple on-line sensors can provide detailed energy information, for a human operator it is unrealistic to analyse the produced data in a satisfactory time-scale. This paper proposes a cooperative tool for energy saving that remotely accesses and evaluates WWTP databases to produce daily energy assessment reports. The novelty of this decision support tool lies in the original combination of: key performance indicators, daily benchmarking, expert knowledge, scenario analysis, fuzzy logic and shared knowledge. In this paper, the Shared Knowledge Decision Support System (SK-DSS) concept is presented and the methodology demonstrated and validated on the energy consumption of biological aeration systems.